The authors describe an interactive visualization system that assists in the analysis of the kinematics of ionized gas in Seyfert galaxies' nuclear regions. The complexity of the data requires the consideration of numerous coexisting variables. They use opacity and color to analyze multiple datasets, both independently and in the context of one another, to identify the mechanism powering a Seyfert galaxy's nuclear outflow.